Overview

Businesses today realizes that technology is a crucial enabler for success in the marketplace. Adopting to reliable technology is essential for staying competitive, relevant, and flexible. However, transformation from legacy systems to newer, agile architectures is complicated. In the rapidly evolving landscape of business tech, AI/ML have become synonymous with disruption; the advancements in AI/ML can bring down the complexity associated with tech migration.

Infosys understands the need and the key objectives to be catered to through legacy migration program for our clients and has a clear strategy to Establish and Accelerate with Integrated delivery model and Infosys tools and accelerator led delivery roll-out.

Infosys Application Modernization Platform
Infosys Application Modernization Platform, powered by Infosys Topaz, AI-first set of services, solutions and platforms using generative AI technologies, provides a comprehensive platform that addresses the need for organizations in their digital transformation journey to migrate to a stable, scalable, secure, and standardized technology platform with a cloud ready set up with API, microservices and process driven architecture.

The platform helps with unlocking business value using AI-ML powered engine using by leveraging the AI/ML to automate reverse and forward engineering through a 3-step process.

Migrating from Legacy Systems to Next-Gen Integration Platforms

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  • Reduces reverse engineering efforts by 60%
  • Reduces overall cost of migration project by 20%
  • Eliminates human intervention thereby reducing conversion errors
  • Extends the future adoption of the platform ecosystem by leveraging robotic process automation and process mining across any poorly performing legacy BMP system
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Challenges & Solutions

Drive Rapid legacy modernization with guaranteed 40-60% cost savings powered by a combination of AI /ML driven reverse and forward engineering

Time to market is reduced by 30% – 50%

Improved service efficiency resulting in reduced overall cost and meet future integration needs